Metabolic signature of COVID-19 progression: potential prognostic markers for severity and outcome.

ABSTRACT:

Introduction

There are significant challenges remain in accurately categorizing the risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) patients.

Objectives

We used an untargeted 1H NMR-based metabolomics to assess the metabolomic changes in serum samples from a Danish cohort of 106 COVID-19-infected patients with mild to fatal disease courses and from patients with fatal outcomes from other diseases.

Methods

In total, 240 serum samples were used for this study. We used the data for multiple analyses (1) to construct a predictive model for disease severity and outcome, (2) to identify prognostic markers for subsequent disease severity and outcome, and (3) to understand the disease consequences in the metabolome and how recovery or death is reflected i

SUBMITTER: Nguyen HTT 

PROVIDER: S-EPMC12095333 | biostudies-literature | 2025 May

REPOSITORIES: biostudies-literature